Learn R Programming

⚠️There's a newer version (1.3-3) of this package.Take me there.

ScottKnott

This is the development code of the R package ScottKnott. You should use it if you want to contribute to its development: testing unreleased versions, fixing bugs, writing code, etc.

To download, check and build it do the following in a terminal emulator:

git clone https://github.com/ivanalaman/ScottKnott.git

After to clone it, to check, build and install do the following:

R CMD check ScottKnott

R CMD build ScottKnott

R CMD INSTALL ScottKnott_X.X-X.tar.gz

The stable version of this package is available at: http://cran.r-project.org/web/packages/ScottKnott/index.html

Copy Link

Version

Install

install.packages('ScottKnott')

Monthly Downloads

710

Version

1.3-2

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Ivan Allaman

Last Published

August 30th, 2023

Functions in ScottKnott (1.3-2)

SK-internal

Internal SK functions
RCBD

Randomized Complete Block Design (RCBD)
SPET

Split-plot Experiment in Time (SPET)
FE

Factorial Experiment (FE)
SK

The SK Test for Single Experiments
summary

Summary Method for SK Objects
LSD

Latin Squares Design (LSD)
sorghum

Completely Randomized Design (CRD)
xtable.SK

xtable method for SK objects.
SSPE

Split-split-plot Experiment (SSPE)
ScottKnott-package

The ScottKnott Clustering Algorithm
SPE

Split-plot Experiment (SPE)
boxplot.SK

Boxplot SK Objects
plot.SK

Plot SK objects
CRD2

Completely Randomized Design (CRD)
CRD1

Completely Randomized Design (CRD)
print.SK

Print Method for SK objects.